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After the channel parameters are estimated, they are fed to the minimum mean-square error (MMSE) detector to improve the performance of equalization.
Although ΔDRR exactly describes the reverberant energy suppression, it cannot be solely used to evaluate the dereverberation performance of equalization techniques, since it does not provide any insight on the reverberant energy decay rate.
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Figure 3 Performance of various equalization schemes.
Symol error rate (SER) performance reaches closely to the performance of conventional equalization.
Figure 7 Performance of various equalization schemes as a function of the block size.
Figure 6 Performance of various equalization schemes as a function of the pilot percentage in the block.
The performance of the equalization techniques is evaluated in terms of the reverberant energy suppression and perceptual speech quality improvement.
However, the performance of these equalization methods may not be satisfactory, especially when only one receiving antenna is present [6].
Block size = 256, number of pilots = 20, pilot positioning scheme:, channel profile = [0 0] dB. Figure 5 Performance of various equalization schemes.
The object is to improve BER performance of an equalization scheme which uses QR decomposition with M-algorithm detection, while keeping the number of surviving paths low for reduced complexity.
Figure 8 BER performances of blind equalization at. Figure 9 Channel MSE of blind Gaussian mixture-based equalization at.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com